Turbine blade fatigue-creep damage coupling probability life prediction calculation method

A turbine blade, probabilistic life technology, applied in the field of turbine blade fatigue-creep damage coupling probability life prediction calculation, can solve problems such as creep failure, turbine blade fatigue fracture, fatigue fracture failure, etc., and achieve the effect of improving accuracy

Inactive Publication Date: 2019-08-27
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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  • Abstract
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  • Application Information

AI Technical Summary

Problems solved by technology

In particular, under the action of high centrifugal load and high temperature load, turbine blades are very prone to fatigue fracture and high temperature creep phenomenon, and with the increase of flight time, fatigue fracture failure and creep failure will eventually occur

Method used

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  • Turbine blade fatigue-creep damage coupling probability life prediction calculation method
  • Turbine blade fatigue-creep damage coupling probability life prediction calculation method
  • Turbine blade fatigue-creep damage coupling probability life prediction calculation method

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Embodiment Construction

[0039] The technical solution of the present invention will be further described below in conjunction with the accompanying drawings.

[0040] like figure 1 As shown, a turbine blade fatigue-creep damage coupling probabilistic life prediction calculation method includes the following steps:

[0041] S1. Collect turbine blade attributes: collect the material attributes, model parameter attributes and load attributes of the turbine blade casting material nickel-based superalloy K403;

[0042] S2. Determining the assessment site: By inputting the material properties, the finite element simulation analysis of the turbine blade is carried out to determine the assessment site of the turbine blade; the turbine blade serves in complex working conditions, and the main loads are centrifugal load, aerodynamic load and temperature load. The turbine blade is divided into two parts and simulated in ANSYS software. The first part is composed of the blade shroud, blade body and edge plate, a...

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Abstract

The invention discloses a turbine blade fatigue-creep damage coupling probability life prediction calculation method. The method comprises the following steps of S1, collecting the turbine blade attributes; S2, determining an examination part; S3, performing finite element simulation on the turbine blade to obtain the turbine blade examination point stress strain information; S4, calculating fatigue damage, calculating the fatigue life and the fatigue damage information through a low-cycle fatigue life model; S5, calculating the creep damage, calculating the creep life and the creep damage information through a creep life model; S6, calculating the total damage and carrying out life distribution fitting; and S7, on the basis of the cumulative damage theory, obtaining the final probabilitylife distribution of the blade in combination with various working condition life information. According to the method, the uncertainty factors caused by the material performance, the load history, the geometric dimension, the prediction model error and the like of the turbine blade are represented by the probability, the service life of the turbine blade is predicted by using the probability service life prediction model, and the precision of the turbine blade service life prediction can be improved.

Description

technical field [0001] The invention belongs to the technical field of aerospace engines, in particular to a fatigue-creep damage coupled probabilistic life prediction calculation method for turbine blades. Background technique [0002] Turbine blades are important components of aero-engines. They work under complex conditions of high temperature, high pressure, and high speed. Once damaged, serious consequences will result. Since the failure of aero-engine caused by turbine blade failure accounts for more than 70% of aero-engine failure events, probabilistic life prediction of turbine blades is of great significance. [0003] The working environment of turbine blades is harsh and complicated, and is mainly affected by centrifugal loads caused by high rotational speeds, aerodynamic forces, thermal stresses and other factors. The main failure modes of turbine blades are low cycle fatigue fracture failure, high temperature creep failure, high cycle fatigue failure, fretting f...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50
CPCG06F30/23G06F2111/10G06F2119/04
Inventor 李彦锋谢非黄洪钟张晓颖刘栋余奥迪周杰柯爽程宏伟
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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